Data + Analytics

Make intelligent business decisions.

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Transform Your Fleet with Big Data

At this moment, your fleet is generating thousands of data points. This data holds the answers to the greatest challenges facing the transportation industry. Predictive analytics can leverage your data to build customized models that explain why events happen, and action plans to avoid them in the future. This insight empowers fleets to learn from past mistakes and make intelligent decisions.

Big Data is About to Change the Transportation Industry as We Know It

Everything you know about the transportation industry is about to change. Enormous wells of data, deep data analysis, and predictive modeling will empower carriers to operate more safely, efficiently, and profitably. Turn this paradigm shift into your competitive advantage.

Reduce Accidents with Predictive Safety Analytics

The number of accidents and injuries involving large trucks continues to rise, and according to the FMCSA, 58% involve at least one driver-related factor. With the average cost of an injury accident sitting at $330,000, an unexpected spike in these incidents can put a fleet in serious jeopardy.

Good News: Accidents Don’t Happen by Accident

Contrary to popular belief, the vast majority of accidents are not random, but a result of a gradual change in driver behavior. Predictive analytics picks up on these subtle changes, and recommends remediation plans to address issues well before they result in dangerous behavior — and an expensive accident.  Learn More

Compliance Doesn't Equal Safety

“With the ELD mandate, fleets are acutely aware of the need to operate in accordance with current and pending regulations. Among the positive outcomes of the increased focus on hours of service management is the fact that many in the industry also recognized the critical importance of looking beyond basic compliance to ensure the safe operation of trucks on our nation’s roads,” stated Dean Croke, vice president of analytics at Omnitracs. “What many in our industry don’t realize is that it’s possible to be 100 percent compliant with HOS regulations and be sound asleep at the wheel, simultaneously. This is why we’ve developed the Accident Severity Model—to allow fleets to predict serious accidents using HoS data and proactively intervene with those drivers at highest risk for being involved.”  Learn More

Don’t Let Driver Shortages Slow Growth

With rising demand and an aging workforce, there’s a great deal of discussion around future driver shortages. To provide great service to existing clients — and take advantage of new business opportunities as they arise — having enough well trained, reliable drivers is critical. Positioning your fleet for success requires retaining current performers, and investing intelligently in promising, new talent. 

Turnover Reduction

Retain Your Drivers

The trucking industry suffers a jaw-dropping 96% annual turnover rate. It’s clear that traditional retention methods have proven to be too little, too late. The time has come for a proactive approach. Historical data shows a clear pattern of subtle, yet impactful behavior changes that foreshadow a driver leaving. Omnitracs’ predictive models have harnessed the power of this data, resulting in an average 13% reduction in driver turnover across all customers.  Learn More

Return on Investment

Invest Intelligently with Recruiting Analytics

Imagine the growth possibilities of being able to clone your best drivers. In some ways, fleets can. Identifying the traits and backgrounds that make them successful, and using that information to match against driver candidates, increases a fleet’s chance for long-term recruiting success. Predictive analytics provides this insight before you hire and invest in human capital, minimizing expensive recruiting and training costs, and allowing you to focus on the drivers who will be around for the long haul.  Learn More

Workers Comp

Control Costs by Minimizing Workers' Comp Claims

One out of every 13 trucking industry employees has a workers’ compensation claim resulting in lost work time at an average cost of $30,000 per year. The industry has accepted this as a cost of doing business. Training and process improvements have traditionally served as the only corrective action, however these do not impact claim rates. Predictive analytics opens up the possibility of a new approach.

Understanding the behavioral trends that serve as a precursor to a workers' compensation claim is key. Omnitracs Analytics detects this behavior, provides insight into the drivers most likely to make a claim, and recommends proactive strategies that can help avoid it.  Learn More

We’ve seen a substantial decrease in our crashes over the years, as well as our overall minor crashes and incidents, and reduced risk costs which go to the bottom line.

Alfred LaCombe
Director, Safety, Training & Logistics, Dupré Logistics

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